{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from nanovna import NanoVNA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#reload script\n",
    "%run nanovna.py"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#instanceを生成\n",
    "nv = NanoVNA('/dev/cu.usbmodem401')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nv.fetch_frequencies()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "s11 = nv.data(0)\n",
    "s12 = nv.data(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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AWlZtycqHVjJm3RgemvWQzy+QJ6zHZ2MISqm1wHdAeyAFeF5rvVopNQJYobWe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\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10ed93a10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nv.logmag(s11)\n",
    "nv.logmag(s12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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/znDccfVvj8PyVVddRVVVFTU11VRU+LcnqOVhw6q5+eYMe2ejQ1Ge//XXoaIi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\nBgD/H78Ft8Cn0nOnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10effba90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nv.phase(s12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 0.02341891-0.01932788j,  0.00707660-0.079767j  ,\n",
       "       -0.02694627-0.13427958j, -0.07665737-0.16863626j,\n",
       "       -0.13404523-0.18186711j, -0.19068630-0.17502719j,\n",
       "       -0.23895971-0.15171185j, -0.27192709-0.11150361j,\n",
       "       -0.28541949-0.06412426j, -0.28357497-0.01661946j,\n",
       "       -0.26252094+0.03132603j, -0.22414946+0.06428533j,\n",
       "       -0.17412527+0.08607276j, -0.12071022+0.08761155j,\n",
       "       -0.06558844+0.0678422j , -0.02012970+0.03188221j,\n",
       "        0.00816156-0.01728208j,  0.01533231-0.06997578j,\n",
       "        0.00509378-0.11836059j, -0.02004478-0.15749748j,\n",
       "       -0.05157295-0.17565535j, -0.08396260-0.17794099j,\n",
       "       -0.10976810-0.16326575j, -0.11683880-0.13783102j,\n",
       "       -0.10560337-0.11172962j, -0.07770808-0.09324122j,\n",
       "       -0.04107541-0.0896017j , -0.00254240-0.10523073j,\n",
       "        0.02081765-0.13326301j,  0.02799014-0.15902352j,\n",
       "        0.02395818-0.1656454j ,  0.02989859-0.13648313j,\n",
       "        0.09309933-0.08746582j,  0.23875974-0.07373825j,\n",
       "        0.41306356-0.1840377j ,  0.49935579-0.40010187j,\n",
       "        0.46292335-0.61807692j,  0.35643625-0.7764343j ,\n",
       "        0.23051427-0.87399077j,  0.10847776-0.92844027j,\n",
       "       -0.00111391-0.95434445j, -0.09800728-0.96298492j,\n",
       "       -0.18239826-0.95959955j, -0.25620979-0.94958162j,\n",
       "       -0.32053882-0.93522185j, -0.37812766-0.91702628j,\n",
       "       -0.42910710-0.89654344j, -0.47435814-0.87565702j,\n",
       "       -0.51518065-0.85292637j, -0.55054969-0.83175707j,\n",
       "       -0.58457225-0.8106581j , -0.61445665-0.78818732j,\n",
       "       -0.63967824-0.76758605j, -0.66459942-0.74695158j,\n",
       "       -0.68646353-0.72539902j, -0.70658088-0.70528418j,\n",
       "       -0.72496969-0.68664485j, -0.74239981-0.66640806j,\n",
       "       -0.75771165-0.6484077j , -0.77143580-0.63007224j,\n",
       "       -0.78490543-0.6131776j , -0.79752558-0.59713316j,\n",
       "       -0.80849564-0.58034045j, -0.81813753-0.56454337j,\n",
       "       -0.82900721-0.54934829j, -0.83704859-0.53287363j,\n",
       "       -0.84566963-0.52019876j, -0.85355520-0.50471479j,\n",
       "       -0.86061305-0.49081132j, -0.86751437-0.47883418j,\n",
       "       -0.87422037-0.46435362j, -0.87894350-0.45377043j,\n",
       "       -0.88490283-0.44119406j, -0.88976771-0.42934528j,\n",
       "       -0.89503652-0.4171125j , -0.89899051-0.40627736j,\n",
       "       -0.90292114-0.3942053j , -0.90709221-0.38484824j,\n",
       "       -0.91039801-0.37435383j, -0.91353023-0.36478758j,\n",
       "       -0.91732216-0.35437799j, -0.92007667-0.34376469j,\n",
       "       -0.92324626-0.33155322j, -0.92624354-0.3227852j ,\n",
       "       -0.92862195-0.3131932j , -0.93135691-0.30518067j,\n",
       "       -0.93248403-0.29702327j, -0.93419075-0.28834644j,\n",
       "       -0.93659395-0.28189823j, -0.93927556-0.27244955j,\n",
       "       -0.93970323-0.26500195j, -0.94213778-0.25833073j,\n",
       "       -0.94326794-0.25036716j, -0.94467962-0.24311051j,\n",
       "       -0.94555390-0.23731124j, -0.94715327-0.22954802j,\n",
       "       -0.94979298-0.22517225j, -0.94957387-0.22162861j,\n",
       "       -0.95127231-0.21481942j, -0.95151079-0.21052867j,\n",
       "       -0.95311463-0.19961566j])"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s11"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## scikit-rfでスミスチャート"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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X+9nZ2Zg3bx7s7e0RGhoqcjiDYkSgRPfvTHt7O5YvX46srCzcvn0bDAaj32MJIbh06RL4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\nOlFAbgrYL0UAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f315e10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#scikit-rf(skrf)を使ってスミスチャートをプロット\n",
    "n = nv.smith(s11)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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3woC844Bno23HEQbo1SXr4DR3X2FmH5rZnu7+SmODlfKjkoqUms2m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\n/8Kj33oSUXIZAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f195710>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#nv.smith()の返値はskrfのNetworkのインスタンス。いろいろとプロットできる。\n",
    "n.plot_s_deg()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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98GtR0/qltapKJQ4RSaOktHH8EHgk6/mQqJrqKTPbN98bV66E1auhS5fKBlgJ\nKnGISBq1uuZ4W5jZJKBf9i7AgYvdfWJ0zMXAanf/S3TMPGAbd19sZqOA+8xsR3df1tI1LrlkHJtu\nCpddBvX19dTX11fsfsqtd294883cr6vEISLl0NDQQENDQ9nOZ55vzosKM7NTgB8DB7n7yhzHPAVc\n6O5TWnjN333XOfxwmDmzsrFWwr33wq23wn33tfx6z57w0Ufhp4hIuZgZ7l7ySj9x9qo6FPgZcGR2\n0jCzPmbWIXo8DNgW+CDXedLaowryV1W5h6oqlThEJGkqWlXVij8AmwGTorU+Xoh6UO0P/MrMVgFr\ngdPdPWcTclp7VEH+xvEVK8Ia6h07VjcmEZHWxJY43H27HPvvAe4p9DxpThz5Shxq3xCRpEpKr6qS\nLV2a3qqqfCUO9agSkaRKfeJIc4mjRw9YvhzWrNn4NZU4RCSplDhi1KFD6DG1dOnGr6nEISJJlfrE\nkdZR4xm52jlU4hCRpEp94khzd1zInThU4hCRpKqJxJHmEkeuBnKVOEQkqVKfOGq1qkolDhFJqtQn\njrRXVanEISJpUxOJQyUOEZHqSX3iSHtVlUocIpI2qU8cy5aFgXRppRKHiKRN6hNHjx5hIF1a9e6t\nEoeIpEuKv3KDNFdTQYhfJQ4RSZPUJ44096gCjRwXkfRJfeKohRJHS1VVKnGISFIpccRMJQ4RSZvU\nJ460V1VlShzNl35XiUNEkir1iSPtJY7NNoNOnUIJI5tKHCKSVEocCdC3LyxatOE+lThEJKlSnzjS\nXlUF0K8fLFiw4T6VOEQkqVKfOGqhxFFXBwsXrn++ahWYhWosEZGkUeJIgLq6DUscKm2ISJKlPnHU\nSlVVdolD7RsikmSxJQ4z+5WZvW5mU83sCTMblPXaWDObaWZvm9kh+c5TKyWO7MShEoeIJFmcJY4r\n3X1Xd98NuB+4FMDMdgROAEYAhwHjzcxynaRWEkd2VZVKHCKSZLElDnfPHrnQDfgkenwk8Fd3X+Pu\ns4CZwJ65zlOLVVUqcYhIkm0S58XN7DfAycByYHS0eyDwfNZhc6N9LaqFxKESh4ikSUUTh5lNAvpl\n7wIcuNjdJ7r7JcAlZnYR8P+AHxR7jcsvH7fucX19PfX19W0JORYqcYhIJTU0NNDQ0FC285k3nyQp\nBma2NfCwu+9iZr8A3N3/PXrtUeBSd3+xhfd5EuJvq6Ym6NwZvvwSNtkEbr4ZJk8OP0VEys3McPec\nbcetibOrJppxAAAIzklEQVRX1bZZT48GpkaPHwBONLPNzGwosC3wUrXjq6aOHWGLLdZPO6ISh4gk\nWZxtHL8zs+FAE/AB8C8A7j7dzO4EpgOrgTNqoljRikx11YABauMQkWSLLXG4+3F5XrsCuKKK4cQu\neyyHShwikmSpHzleK7J7VqnEISJJpsSRENk9q1TiEJEkU+JICJU4RCQtlDgSQm0cIpIWShwJkV1V\npRKHiCSZEkdCNK+qUolDRJJKiSMhmjeOq8QhIkmlxJEQffuGxOGuEoeIJJsSR0J07QqbbgqffaYS\nh4gkmxJHgmSqq1TiEJEkU+JIkLo6mDcPVq0Ks+WKiCSREkeC1NXBhx+G0kbuxXJFROKlxJEg/frB\nBx+ofUNEkk2JI0Hq6pQ4RCT5lDgSJJM41DAuIkmmxJEgqqoSkTRQ4kiQzLQjKnGISJIpcSRIXV34\nqRKHiCSZEkeC9OsXfqrEISJJpsSRIL17Q8eOKnGISLIpcSRIhw6huqpbN2hoaIg7nIrS/aWb7q99\nU+JImLq6UOKo9V9c3V+66f7aNyWOhMmUOEREkkqJI2EGDIAePeKOQkQkN3P3uGMomZmlN3gRkRi5\ne8lTqaY6cYiISPWpqkpERIqixCEiIkVR4kgIM5tlZq+b2Wtm9lK0r7eZPW5mM8zsMTPrFXechTKz\nm8xsgZm9kbUv5/2Y2Vgzm2lmb5vZIfFEXbgc93epmX1kZlOi7dCs11Jzf2Y2yMz+bmZvmdmbZnZO\ntL8mPr8W7u/saH+tfH6dzOzF6LvkLTO7PNpfvs/P3bUlYAM+AHo32/fvwM+jxxcBv4s7ziLuZ19g\nN+CN1u4H2BF4DdgEGAK8R9T+ltQtx/1dClzQwrEj0nR/QH9gt+hxd2AGsEOtfH557q8mPr8o5q7R\nz47AC8A+5fz8VOJIDmPjEuBRwK3R41uBo6saURu4+2RgcbPdue7nSOCv7r7G3WcBM4E9qxFnqXLc\nH4TPsbmjSNH9ufvH7j41erwMeBsYRI18fjnub2D0cuo/PwB3Xx497ET4XllMGT8/JY7kcGCSmb1s\nZj+K9vVz9wUQftmButiiK4+6HPczEGjMOm4u6/8jp81ZZjbVzG7MqgpI7f2Z2RBCyeoFcv8+1sL9\nvRjtqonPz8w6mNlrwMdAg7tPp4yfnxJHcuzj7qOAw4EzzWw/QjLJVmt9p2vtfsYDw9x9N8J/2N/H\nHE+bmFl34C7g3Ogv85r6fWzh/mrm83P3te6+O6GkuJ+Z1VPGz0+JIyHcfX70cxFwH6GouMDM+gGY\nWX9gYXwRlkWu+5kLbJ113KBoX6q4+yKPKo2BG1hf3E/d/ZnZJoQv1dvc/f5od818fi3dXy19fhnu\n/hnwMPBVyvj5KXEkgJl1jf76wcy6AYcAbwIPAKdEh30fuL/FEySXsWGdca77eQA40cw2M7OhwLbA\nS9UKsg02uL/oP2PGMcC06HEa7+9mYLq7X5O1r5Y+v43ur1Y+PzPrk6lmM7MuwMGExu/yfX5xt/5r\nc4ChwNTow30T+EW0fwvgCUKvj8eBzeOOtYh7+gswD1gJzAF+APTOdT/AWEJvjreBQ+KOv8T7+zPw\nRvRZ3keoU07d/RF64DRl/U5OAQ7N9/tYI/dXK5/fLtE9vQa8Dvw02l+2z09TjoiISFFUVSUiIkVR\n4hARkaIocYiISFGUOEREpChKHCIiUhQlDhERKYoSh6SOmTVF016/Fv3cJu6YysnMdjazm6LHp5jZ\nWjM7KOv1o6N9x0TPnzKzUVmvDzazN/Ocv87MHq7kPUht2yTuAERK8IWHeb1aZGYd3b2pmgGV2c+A\n66LHThiUdiLw92jfiYRBavnkHKDl7gvN7FMz293dX2trsNL+qMQhabTR1Ndm9n0zu9/MniSMjsXM\nfmpmL0WznV6adezF0WI2z5jZX8zsgmj/ur/czWxLM/swetzBzK6MFseZamY/jvYfEL1nQrQAzm1Z\n1/g/ZvZcdPwLZtbdzJ42s5FZxzxrZrs0u4/NgL3c/eWs3ZOBPc2sYzQlzbbkTxzZ06DcEJXMXjOz\nhWb2b9FLE4Hv5jmHSE4qcUgadTGzKYQvyA/c/dho/+7ALu6+1MwOBrZz9z3NzIAHzGxfYDlwAjAS\n2IwwNcMrOa6T+av9VGCJu4+OvtifM7PHo9d2IyyE83G0f2/gZeCvwPHuPiWah+xL4EbC1CTnm9l2\nQCd3b16ltDthSojmcTxBmBajF2GOoaHNjrndzL6MHnciTKmBu2eS3DbAI8D/j455Cbggx32L5KXE\nIWm0PEdV1SR3Xxo9PgQ4OCvBdAO2A3oC97r7SmClmT1QwPUOAXYxs+Oj5z2jc60GXvJoZmMzm0pY\nQe0zYJ67T4F1iwVhZncB/2ZmPwV+yPov8WyDgfnN9jkhEZ0bXftC4OJmx3w3U+1kZoMJJQqi552B\nCcBZ7p5Zd2FeFKtI0ZQ4pJZ8kfXYgCvc/YbsA8zs3DzvX8P66tvOzc51trtPanauAwiTHGY0sf7/\n1EbVae7+pZlNIqy8djywR444WnrvK1G11jJ3fy8UovK/J8sfgbvc/almx6/N8x6RnNTGIWmU70sy\n4zHgh1GbAGa2lZn1BZ4BjjazTmbWAzgi6z2zCOsWQPhizz7XGdEaDpjZdmbWNc+1ZwD9zWyP6Pju\nZpb5v3YTcC2hpLK0hffOBgbkOO9FbFzSyMvMzgS6u/t/NHtpQHQtkaKpxCFp1OqUzu4+ycx2AJ6P\n/jr/HDjJ3V8zszsJPZUWsOG6A1cBd0aN3w9l7b+RUK0zJWovWUjL6797dO3VZvZPwHXRegjLga8T\nqtimmNlnwC05Qp8KDM9xT481v1YLj5u7EFhlYRlRB/7k7v9FWKTo2TzvE8lJ06pLuxb1tvrc3a+u\n0vW2Av7u7jvkOeYWwhf8i7mOKUMctwNXqTuulEJVVSJVYmbfA54H/rWVQ38PnF7BOPoSFvFR0pCS\nqMQhIiJFUYlDRESKosQhIiJFUeIQEZGiKHGIiEhRlDhERKQoShwiIlKU/wVKMvYjx31lZQAAAABJ\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10effb950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n.plot_s_db()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## touchstoneファイルを読み書き"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#skrfのNetworkのインスタンスに変換\n",
    "n = nv.skrf_network(a)\n",
    "#ファイルに書き出す\n",
    "n.write_touchstone('100mhz-lpf-s11')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "!Created with skrf (http://scikit-rf.org).\r\n",
      "# MHz S RI R 50.0 \r\n",
      "!freq ReS11 ImS11\r\n",
      "1.0 0.012460355 -0.015879744\r\n",
      "3.99 -0.008661273 -0.069707974\r\n",
      "6.98 -0.042227279 -0.115677334\r\n",
      "9.97 -0.092017509 -0.143823102\r\n",
      "12.96 -0.147657468 -0.149449899\r\n",
      "15.95 -0.201385751 -0.135523363\r\n",
      "18.94 -0.243053123 -0.102494128\r\n",
      "21.93 -0.270805299 -0.057194426\r\n",
      "24.92 -0.279718816 -0.006995845\r\n",
      "27.91 -0.26907292 0.044069305\r\n",
      "30.9 -0.240883052 0.086606264\r\n",
      "33.89 -0.198594421 0.115753814\r\n",
      "36.88 -0.148413732 0.127066627\r\n",
      "39.87 -0.095692999 0.120097838\r\n",
      "42.86 -0.051569625 0.092090547\r\n",
      "45.85 -0.021049311 0.050145152\r\n",
      "48.84 -0.008668005 0.000488108\r\n",
      "51.83 -0.01736783 -0.046825736\r\n",
      "54.82 -0.043845944 -0.085811898\r\n",
      "57.81 -0.07889305 -0.108475185\r\n",
      "60.8 -0.115591615 -0.111082322\r\n",
      "63.79 -0.144830152 -0.100106723\r\n",
      "66.78 -0.161541178 -0.078393302\r\n",
      "69.77 -0.160680696 -0.052953913\r\n",
      "72.76 -0.145111352 -0.035594791\r\n",
      "75.75 -0.12046393 -0.031371835\r\n",
      "78.74 -0.096017956 -0.045363258\r\n",
      "81.73 -0.079670108 -0.068865291\r\n",
      "84.72 -0.079107657 -0.096139885\r\n",
      "87.71 -0.086602538 -0.111095376\r\n",
      "90.7 -0.088500604 -0.108509123\r\n",
      "93.69 -0.056621097 -0.095994919\r\n",
      "96.68 0.023785417 -0.113351397\r\n",
      "99.67 0.122755669 -0.22131671\r\n",
      "102.66 0.143200159 -0.430105596\r\n",
      "105.65 0.014455529 -0.636196434\r\n",
      "108.64 -0.199580222 -0.738724291\r\n",
      "111.63 -0.409823477 -0.738352775\r\n",
      "114.62 -0.579784512 -0.676701188\r\n",
      "117.61 -0.706734716 -0.588059663\r\n",
      "120.6 -0.798828005 -0.489604473\r\n",
      "123.59 -0.863955259 -0.390565961\r\n",
      "126.58 -0.908756136 -0.294724076\r\n",
      "129.57 -0.939148843 -0.203354865\r\n",
      "132.56 -0.956894338 -0.117651909\r\n",
      "135.55 -0.965772807 -0.036837998\r\n",
      "138.54 -0.967170655 0.038984399\r\n",
      "141.53 -0.962748467 0.109661862\r\n",
      "144.52 -0.953266203 0.17541635\r\n",
      "147.51 -0.939689636 0.237756907\r\n",
      "150.5 -0.923340022 0.295781522\r\n",
      "153.49 -0.903214097 0.34978187\r\n",
      "156.48 -0.881740689 0.400764703\r\n",
      "159.47 -0.857602655 0.447761893\r\n",
      "162.46 -0.832307636 0.492349296\r\n",
      "165.45 -0.805417716 0.533628106\r\n",
      "168.44 -0.777211487 0.572187721\r\n",
      "171.43 -0.748060345 0.608603715\r\n",
      "174.42 -0.718081474 0.641842961\r\n",
      "177.41 -0.687663137 0.672596335\r\n",
      "180.4 -0.656353473 0.702500879\r\n",
      "183.39 -0.624873399 0.72873044\r\n",
      "186.38 -0.592888653 0.753398597\r\n",
      "189.37 -0.561039626 0.775578379\r\n",
      "192.36 -0.527994394 0.797781229\r\n",
      "195.35 -0.495531857 0.817145586\r\n",
      "198.34 -0.462994456 0.834913671\r\n",
      "201.33 -0.43011853 0.851932346\r\n",
      "204.32 -0.397464483 0.865558087\r\n",
      "207.31 -0.364593744 0.878933131\r\n",
      "210.3 -0.331911683 0.890994787\r\n",
      "213.29 -0.299343347 0.90097469\r\n",
      "216.28 -0.267236679 0.9105255\r\n",
      "219.27 -0.234721973 0.918669342\r\n",
      "222.26 -0.202711537 0.925427734\r\n",
      "225.25 -0.170930698 0.930867791\r\n",
      "228.24 -0.140019878 0.935535848\r\n",
      "231.23 -0.107755944 0.939114093\r\n",
      "234.22 -0.077951855 0.941670715\r\n",
      "237.21 -0.047086469 0.942763864\r\n",
      "240.2 -0.017075931 0.944037675\r\n",
      "243.19 0.014421619 0.942831575\r\n",
      "246.18 0.043578565 0.941699922\r\n",
      "249.17 0.074097789 0.940415143\r\n",
      "252.16 0.10234037 0.936205804\r\n",
      "255.15 0.132019862 0.932417213\r\n",
      "258.14 0.159588053 0.927824199\r\n",
      "261.13 0.188750743 0.922450125\r\n",
      "264.12 0.21566835 0.916439771\r\n",
      "267.11 0.24223265 0.90987128\r\n",
      "270.1 0.269220948 0.901904821\r\n",
      "273.09 0.296390444 0.892024219\r\n",
      "276.08 0.322025299 0.883853435\r\n",
      "279.07 0.347055166 0.874677836\r\n",
      "282.06 0.372412115 0.864473819\r\n",
      "285.05 0.397422134 0.853511154\r\n",
      "288.04 0.422893732 0.841982126\r\n",
      "291.03 0.446770995 0.828893423\r\n",
      "294.02 0.469735026 0.81654936\r\n",
      "297.01 0.493450969 0.80179876\r\n",
      "300.0 0.514534354 0.789222598\r\n"
     ]
    }
   ],
   "source": [
    "#ファイルを確認\n",
    "!cat 100mhz-lpf-s11.s1p"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1-Port Network: '100mhz-lpf-s11',  1-300 MHz, 101 pts, z0=[ 50.+0.j]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#再読み込み\n",
    "import skrf\n",
    "skrf.Network('100mhz-lpf-s11.s1p')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#独自形式で書き出す\n",
    "n.write('100mhz-lpf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1-Port Network: '',  1-300 MHz, 101 pts, z0=[ 50.+0.j]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#独自形式を読み込む\n",
    "import skrf\n",
    "skrf.read('100mhz-lpf.ntwk')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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